Model Comparison

Kimi-k1.5 vs Kimi K2 0905

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Kimi-k1.5 outperforms in 1 benchmarks (AIME 2024), while Kimi K2 0905 is better at 1 benchmark (MMLU).

Both models are evenly matched across the benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Moonshot AI
Kimi-k1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
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Context Window

Maximum input and output token capacity

Only Kimi K2 0905 specifies input context (262,144 tokens). Only Kimi K2 0905 specifies output context (262,144 tokens).

Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas Kimi K2 0905 does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi-k1.5

Text
Images
Audio
Video

Kimi K2 0905

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Kimi-k1.5

Proprietary

Closed source

Kimi K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi-k1.5 was released on 2025-01-20, while Kimi K2 0905 was released on 2025-09-05.

Kimi K2 0905 is 8 months newer than Kimi-k1.5.

Kimi-k1.5

Jan 20, 2025

1.2 years ago

Kimi K2 0905

Sep 5, 2025

7 months ago

7mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Moonshot AI
Supports multimodal inputs
Higher AIME 2024 score (77.5% vs 72.0%)
Moonshot AI
Larger context window (262,144 tokens)
Higher MMLU score (90.2% vs 87.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi-k1.5
Moonshot AI
Kimi K2 0905

FAQ

Common questions about Kimi-k1.5 vs Kimi K2 0905

Both models are evenly matched across the benchmarks. Kimi-k1.5 is made by Moonshot AI and Kimi K2 0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%. Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.
Kimi-k1.5 supports an unknown number of tokens and Kimi K2 0905 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.